Maintenance float decision models in flexible manufacturing systems--Taguchi design and regression metamodel approach.
Item
-
Title
-
Maintenance float decision models in flexible manufacturing systems--Taguchi design and regression metamodel approach.
-
Identifier
-
AAI9108137
-
identifier
-
9108137
-
Creator
-
Kuei, Chu-Hua.
-
Contributor
-
Adviser: Michael N. Chanin
-
Date
-
1990
-
Language
-
English
-
Publisher
-
City University of New York.
-
Subject
-
Business Administration, Management
-
Abstract
-
This paper proposes a new strategic approach to the modeling of maintenance float decisions in a Flexible Manufacturing Cell and Flexible Manufacturing System. This approach incorporates problem definition and formulation, simulation model, Taguchi experimental design, ANOVA algorithm, data analysis, regression metamodel, and mathematical programming. Taguchi experimental design is used to generate the input variables into the simulation program. The simulation results are analyzed using Taguchi's ANOVA algorithm and data analysis procedure. Input variables found significant are subsequently applied in a regression metamodel. Predictor models for the machine utilization and/or throughput are developed and their validities tested. Cost decision models are further developed to show the applicability of our models to decision situations. Currently no procedure is available for determining how to design the best simulation experiment based on the Taguchi method. Therefore this study proposes aids that have been found useful in designing these experiments.;The objectives of this study are as follows: (1) to utilize the Taguchi design in the simulation experiment, (2) to analyze the main effects and interaction effects of controllable factors on the machine utilization in the FMC with maintenance float policy and on the throughput in the FMS with maintenance float policy, (3) to examine the relationships between machine utilization and/or throughput and the number of spares parts, the number of repair persons, mean time between failure (MTBF), and mean time to repair (MTTR). (4) to predict the performance of very complex manufacturing systems, and (5) to minimize the expected total system cost per unit time subject to certain system constraints.;The use of such an approach reduces the amount of work needed in order to obtain a reliable and dependable model for maintenance float systems. It also benefits from the flexibility of simulation by not requiring some of the restricting assumptions made by analytical models. Additionally, this approach can help operation managers to make an effective and competitive decision.
-
Type
-
dissertation
-
Source
-
PQT Legacy CUNY.xlsx
-
degree
-
Ph.D.
